Location Estimation of a Random Signal Source Based on Correlated Sensor Observations

  title={Location Estimation of a Random Signal Source Based on Correlated Sensor Observations},
  author={A. Sundaresan and P. Varshney},
  journal={IEEE Transactions on Signal Processing},
  • A. Sundaresan, P. Varshney
  • Published 2011
  • Mathematics, Computer Science
  • IEEE Transactions on Signal Processing
  • The problem of location estimation of a source of random signals using a network of sensors is considered. A novel maximum-likelihood estimation (MLE) based approach using copula functions is proposed. The measurements received at the sensors are often spatially correlated and characterized by a multivariate distribution. Using the theory of copulas, the joint parametric density of sensor observations (joint likelihood) is approximated assuming only the knowledge of the marginal likelihood… CONTINUE READING

    Figures, Tables, and Topics from this paper.

    Robust distributed maximum likelihood estimation with dependent quantized data
    • 17
    • PDF
    Fusing heterogeneous data for detection under non-stationary dependence
    • 13
    • PDF
    Unsupervised data classification using pairwise Markov chains with automatic copulas selection
    • 18
    • PDF
    Compressive Sensing-Based Detection With Multimodal Dependent Data
    • 12
    • PDF
    A coalitional game for distributed estimation in wireless sensor networks
    • 11
    Heterogeneous Sensor Signal Processing for Inference with Nonlinear Dependence
    • Hao He
    • Computer Science
    • 2015
    • 6
    Target localization and function estimation in sparse sensor networks


    Publications referenced by this paper.
    A new look at the statistical model identification
    • 23,978
    • PDF
    Target Location Estimation in Sensor Networks With Quantized Data
    • 249
    • PDF
    Fundamentals of statistical signal processing: estimation theory
    • 9,336
    • PDF
    Distributed Sequential Bayesian Estimation of a Diffusive Source in Wireless Sensor Networks
    • Tong Zhao, A. Nehorai
    • Computer Science, Mathematics
    • 2007
    • 131
    • PDF
    An Introduction to Copulas
    • 2,905
    • Highly Influential